Implementing Data Models and Reports with SQL Server 2014

Session Detail:    Classroom 5 Day

This five-day instructor-led course teaches students how to design and implement a BI infrastructure for enterprise data models and reports. The course discusses design, installation, and operations of a BI platform, including Microsoft SQL Server Analysis Services, SQL Server Reporting Services, and Microsoft SharePoint Server.

Prerequisites

This course requires that you meet the following prerequisites:

  • At least 2 years experience of working with relational databases
  • Designing a normalized database
  • Creating tables and relationships
  • Querying withTransact-SQL
  • Some basic knowledge of data warehouse schema topology (including star and snowflake schemas)
  • Some exposure to basic programming constructs (such as looping and branching)
  • An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable

Who Can Benefit

This course is intended for database professionals who need to fulfill a BusinessIntelligence Developer role to create analysis and reporting solutions. Primary responsibilities include:

  • Implementing analytical data models, such as OLAP cubes
  • Implementing reports, and managing report delivery
  • Creating business performance dashboards
  • Supporting data mining and predictive analysis

Session Outline

Class Outline

Module 1: Introduction to Business Intelligence and Data Modeling

  • Lesson 1: Introduction to Business Intelligence
  • Lesson 2: The Microsoft Enterprise BI Platform

After completing this module, you will be able to:

  • Describe the elements of a typical BI solution
  • Select appropriate Microsoft technologies for a BI solution
  • Describe key considerations for planning a BI project

Module 2: Creating Multidimensional Databases

  • Lesson 1: Introduction to Multidimensional Analysis
  • Lesson 2: Creating Data Sources and Data Source Views
  • Lesson 3: Creating a Cube
  • Lesson 4: Overview of Cube Security

After completing this module, you will be able to:

  • Describe the considerations for a multidimensional database
  • Create data sources and data source views
  • Create a cube
  • Implement security in a multidimensional database

Module 3: Working with Cubes and Dimensions

  • Lesson 1: Configuring Dimensions
  • Lesson 2: Defining Attribute Hierarchies
  • Lesson 3: Sorting and Grouping Hierarchies

After completing this module, you will be able to:

  • Configure dimensions
  • Define attribute hierarchies
  • Sort and group attributes

Module 4: Working with Measures and Measure Groups

  • Lesson 1: Working with Measures
  • Lesson 2: Working with Measure Groups

After completing this module, you will be able to:

  • Configure measures
  • Configure measure groups

Module 5: Introduction to MDX

  • Lesson 1: MDX Fundamentals
  • Lesson 2: Adding Calculations to a Cube
  • Lesson 3: Using MDX to Query a Cube

After completing this module, you will be able to:

  • Describe MDX
  • Add calculations to a cube
  • Describe how to use MDX in client applications

Module 6: Customizing Cube Functionality

  • Lesson 1: Implementing Key Performance Indicators
  • Lesson 2: Implementing Actions
  • Lesson 3: Implementing Perspectives
  • Lesson 4: Implementing Translations

After completing this module, you will be able to:

  • Implement key performance Indicators
  • Implement Actions
  • ImplementPerspectives
  • Implement Translations

Module 7: Implementing an Analysis Services Tabular Data Model

  • Lesson 1: Introduction to Tabular Data Models
  • Lesson 2: Creating a Tabular Data Model
  • Lesson 3: Using an Analysis Services Tabular Data Model in an Enterprise BI Solution

After completing this module, you will be able to:

  • Describe AnalysisServices tabular data model projects
  • Implement Analysis Services tabular data model
  • Use an Analysis Services tabular data model

Module 8: Introduction to Data Analysis Expression (DAX)

  • Lesson 1: DAX Fundamentals
  • Lesson 2: Using DAX to Create calculated Columns and Measures in a Tabular Data Model

After completing this module, you will be able to:

  • Describe the fundamentals of DAX
  • Use DAX to create calculated columns and measures

Module 9: Implementing Reports with SQL Server Reporting Services

  • Lesson 1: Introduction to Reporting Services
  • Lesson 2: Creating a Report with Report Designer
  • Lesson 3: Grouping and Aggregating Data in a Report
  • Lesson 4: Showing Data Graphically
  • Lesson 5: Filtering Reports Using Parameters

After completing this module, you will be able to:

  • Describe the key features of Reporting Services
  • Use ReportDesigner to create a report
  • Group and aggregate data in a report
  • Publish and view a report

Module 10: Automating Report Execution and Delivery

  • Lesson 1: Managing Report Security
  • Lesson 2: Managing Report Execution
  • Lesson 3: Delivering Reports with Subscriptions and Data Alerts
  • Lesson 4: Troubleshooting Reporting Services

After completing this module, you will be able to:

  • Configure security settings for a report server
  • Configure report execution settings to optimize performance
  • Use subscriptions and alerts to automate report and data delivery
  • Troubleshoot reporting issues

Module 11: Delivering BI with SharePoint PerformancePoint Services

  • Lesson 1: Introduction to SharePoint Server as a BI Platform
  • Lesson 2: Planning Security for a SharePoint Server BI Solution
  • Lesson 3: Planning for PerformancePoint Services

After completing this module, you will be able to:

  • Describe SharePoint Server as a BI platform
  • Use Performance Point Services to deliver BI functionality
  • Configure Performance Point Data Sources
  • Create Reports, Scorecards, and Dashboards

Module 12: Performing Predictive Analysis with Data Mining

  • Lesson 1: Overview of Data Mining
  • Lesson 2: Using the Data Mining Add-in for Excel
  • Lesson 3: Creating a Custom Data Mining Solution
  • Lesson 4: Validating a Data Mining Model
  • Lesson 5: Connecting to and Consuming Data Mining Data

After completing this module, you will be able to:

  • Describe the key data mining concepts and use the Data Mining Add-ins for Excel
  • Create a data mining solution
  • Validate data mining models
  • Use data mining data in a report

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Implementing Data Models and Reports with SQL Server 2014

5 Day
Classroom

$3,095.00

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